Facilitating fast channel state information computation for 5g wireless communication systems

ABSTRACT

Fast calculation of channel state information using demodulation reference signals (DM-RS) is provided herein. Channel state information is traditionally calculated based on the channel state reference signals (CS-RS). Demodulation reference signals, which are used for channel estimation for a data channel, are transmitted at different times than CS-RS however, and so some portions of the channel state information including layer indicator (LI) and channel quality indicator (CQI) can be calculated based on the demodulation reference signals, allowing a network to adapt more quickly to changing channel conditions, without having to transmit a CS-RS. Generally, precoding matrix indicator and rank indicator, which cannot be determined based on the DM-RS, don&#39;t change as often and are more stable over time, thus do not need to be calculated as frequently as the LI and CQI.

RELATED APPLICATIONS

The subject patent application is a continuation of, and claims priorityto, U.S. patent application Ser. No. 16/357,798, filed Mar. 19, 2019,and entitled “FACILITATING FAST CHANNEL STATE INFORMATION COMPUTATIONFOR 5G WIRELESS COMMUNICATION SYSTEMS,” which applications claim thebenefit of priority to U.S. Provisional Patent Application No.62/717,207, filed Aug. 10, 2018 and titled “FAST CSI COMPUTATION FOR 5GWIRELESS COMMUNICATION SYSTEMS” the entireties of which applications arehereby incorporated herein by reference.

TECHNICAL FIELD

This disclosure relates generally to facilitating fast channel stateinformation (CSI) computation for 5G wireless communication systems. Forexample, this disclosure relates to facilitating fast calculation ofchannel state information using demodulation reference signals (DM-RS)for a 5G, or other next generation network, air interface.

BACKGROUND

5^(th) generation (5G) wireless systems represent a next major phase ofmobile telecommunications standards beyond the currenttelecommunications standards of 4^(th) generation (4G). Rather thanfaster peak Internet connection speeds, 5G planning aims at highercapacity than current 4G, allowing a higher number of mobile broadbandusers per area unit, and allowing consumption of higher or unlimiteddata quantities. This would enable a large portion of the population tostream high-definition media many hours per day with their mobiledevices, when out of reach of wireless fidelity hotspots. 5G researchand development also aims at improved support of machine-to-machinecommunication, also known as the Internet of things, aiming at lowercost, lower battery consumption, and lower latency than 4G equipment.

The above-described background relating to facilitating fast CSIcomputation is merely intended to provide a contextual overview of somecurrent issues, and is not intended to be exhaustive. Other contextualinformation may become further apparent upon review of the followingdetailed description.

BRIEF DESCRIPTION OF THE DRAWINGS

Non-limiting and non-exhaustive embodiments of the subject disclosureare described with reference to the following figures, wherein likereference numerals refer to like parts throughout the various viewsunless otherwise specified.

FIG. 1 illustrates an example wireless communication system in which anetwork node device (e.g., network node) and user equipment (UE) canimplement various aspects and embodiments of the subject disclosure.

FIG. 2 illustrates an example schematic system block diagram of amessage sequence chart between a network node and user equipmentaccording to one or more embodiments.

FIG. 3 illustrates an example schematic system block diagram of a codingchain for a physical downlink shared channel transmitter according toone or more embodiments.

FIG. 4 illustrates an example graph of rank information distributionaccording to one or more embodiments.

FIG. 5 illustrates an example graph of precoding matrix informationdistribution according to one or more embodiments.

FIG. 6 illustrates an example message sequence chart according to one ormore embodiments.

FIG. 7 illustrates an example flow diagram for a user equipment devicefor facilitating fast CSI computation for a 5G network according to oneor more embodiments.

FIG. 8 illustrates an example flow diagram for a network node device forfacilitating fast CSI computation for a 5G network according to one ormore embodiments.

FIG. 9 illustrates an example flow diagram for a machine-readable mediumfor facilitating fast CSI computation for a 5G network according to oneor more embodiments.

FIG. 10 illustrates an example flow diagram for a machine-readablemedium for facilitating fast CSI computation for a 5G network accordingto one or more embodiments.

FIG. 11 illustrates an example block diagram of an example mobilehandset operable to engage in a system architecture that facilitatessecure wireless communication according to one or more embodimentsdescribed herein.

FIG. 12 illustrates an example block diagram of an example computeroperable to engage in a system architecture that facilitates securewireless communication according to one or more embodiments describedherein.

DETAILED DESCRIPTION

In the following description, numerous specific details are set forth toprovide a thorough understanding of various embodiments. One skilled inthe relevant art will recognize, however, that the techniques describedherein can be practiced without one or more of the specific details, orwith other methods, components, materials, etc. In other instances,well-known structures, materials, or operations are not shown ordescribed in detail to avoid obscuring certain aspects.

Reference throughout this specification to “one embodiment,” or “anembodiment,” means that a particular feature, structure, orcharacteristic described in connection with the embodiment is includedin at least one embodiment. Thus, the appearances of the phrase “in oneembodiment,” “in one aspect,” or “in an embodiment,” in various placesthroughout this specification are not necessarily all referring to thesame embodiment. Furthermore, the particular features, structures, orcharacteristics may be combined in any suitable manner in one or moreembodiments.

As utilized herein, terms “component,” “system,” “interface,” and thelike are intended to refer to a computer-related entity, hardware,software (e.g., in execution), and/or firmware. For example, a componentcan be a processor, a process running on a processor, an object, anexecutable, a program, a storage device, and/or a computer. By way ofillustration, an application running on a server and the server can be acomponent. One or more components can reside within a process, and acomponent can be localized on one computer and/or distributed betweentwo or more computers.

Further, these components can execute from various machine-readablemedia having various data structures stored thereon. The components cancommunicate via local and/or remote processes such as in accordance witha signal having one or more data packets (e.g., data from one componentinteracting with another component in a local system, distributedsystem, and/or across a network, e.g., the Internet, a local areanetwork, a wide area network, etc. with other systems via the signal).

As another example, a component can be an apparatus with specificfunctionality provided by mechanical parts operated by electric orelectronic circuitry; the electric or electronic circuitry can beoperated by a software application or a firmware application executed byone or more processors; the one or more processors can be internal orexternal to the apparatus and can execute at least a part of thesoftware or firmware application. As yet another example, a componentcan be an apparatus that provides specific functionality throughelectronic components without mechanical parts; the electroniccomponents can include one or more processors therein to executesoftware and/or firmware that confer(s), at least in part, thefunctionality of the electronic components. In an aspect, a componentcan emulate an electronic component via a virtual machine, e.g., withina cloud computing system.

The words “exemplary” and/or “demonstrative” are used herein to meanserving as an example, instance, or illustration. For the avoidance ofdoubt, the subject matter disclosed herein is not limited by suchexamples. In addition, any aspect or design described herein as“exemplary” and/or “demonstrative” is not necessarily to be construed aspreferred or advantageous over other aspects or designs, nor is it meantto preclude equivalent exemplary structures and techniques known tothose of ordinary skill in the art. Furthermore, to the extent that theterms “includes,” “has,” “contains,” and other similar words are used ineither the detailed description or the claims, such terms are intendedto be inclusive—in a manner similar to the term “comprising” as an opentransition word—without precluding any additional or other elements.

As used herein, the term “infer” or “inference” refers generally to theprocess of reasoning about, or inferring states of, the system,environment, user, and/or intent from a set of observations as capturedvia events and/or data. Captured data and events can include user data,device data, environment data, data from sensors, sensor data,application data, implicit data, explicit data, etc. Inference can beemployed to identify a specific context or action, or can generate aprobability distribution over states of interest based on aconsideration of data and events, for example.

Inference can also refer to techniques employed for composinghigher-level events from a set of events and/or data. Such inferenceresults in the construction of new events or actions from a set ofobserved events and/or stored event data, whether the events arecorrelated in close temporal proximity, and whether the events and datacome from one or several event and data sources. Various classificationschemes and/or systems (e.g., support vector machines, neural networks,expert systems, Bayesian belief networks, fuzzy logic, and data fusionengines) can be employed in connection with performing automatic and/orinferred action in connection with the disclosed subject matter.

In addition, the disclosed subject matter can be implemented as amethod, apparatus, or article of manufacture using standard programmingand/or engineering techniques to produce software, firmware, hardware,or any combination thereof to control a computer to implement thedisclosed subject matter. The term “article of manufacture” as usedherein is intended to encompass a computer program accessible from anycomputer-readable device, machine-readable device, computer-readablecarrier, computer-readable media, or machine-readable media. Forexample, computer-readable media can include, but are not limited to, amagnetic storage device, e.g., hard disk; floppy disk; magneticstrip(s); an optical disk (e.g., compact disk (CD), a digital video disc(DVD), a Blu-ray Disc™ (BD)); a smart card; a flash memory device (e.g.,card, stick, key drive); and/or a virtual device that emulates a storagedevice and/or any of the above computer-readable media.

As an overview, various embodiments are described herein to facilitatefast CSI computation for a 5G air interface or other next generationnetworks. For simplicity of explanation, the methods (or algorithms) aredepicted and described as a series of acts. It is to be understood andappreciated that the various embodiments are not limited by the actsillustrated and/or by the order of acts. For example, acts can occur invarious orders and/or concurrently, and with other acts not presented ordescribed herein. Furthermore, not all illustrated acts may be requiredto implement the methods. In addition, the methods could alternativelybe represented as a series of interrelated states via a state diagram orevents. Additionally, the methods described hereafter are capable ofbeing stored on an article of manufacture (e.g., a machine-readablestorage medium) to facilitate transporting and transferring suchmethodologies to computers. The term article of manufacture, as usedherein, is intended to encompass a computer program accessible from anycomputer-readable device, carrier, or media, including a non-transitorymachine-readable storage medium.

It should be noted that although various aspects and embodiments havebeen described herein in the context of 5G, Universal MobileTelecommunications System (UMTS), and/or Long Term Evolution (LTE), orother next generation networks, the disclosed aspects are not limited to5G, a UMTS implementation, and/or an LTE implementation as thetechniques can also be applied in 3G, 4G or LTE systems. For example,aspects or features of the disclosed embodiments can be exploited insubstantially any wireless communication technology. Such wirelesscommunication technologies can include UMTS, Code Division MultipleAccess (CDMA), Wi-Fi, Worldwide Interoperability for Microwave Access(WiMAX), General Packet Radio Service (GPRS), Enhanced GPRS, ThirdGeneration Partnership Project (3GPP), LTE, Third Generation PartnershipProject 2 (3GPP2) Ultra Mobile Broadband (UMB), High Speed Packet Access(HSPA), Evolved High Speed Packet Access (HSPA+), High-Speed DownlinkPacket Access (HSDPA), High-Speed Uplink Packet Access (HSUPA), Zigbee,or another IEEE 802.XX technology. Additionally, substantially allaspects disclosed herein can be exploited in legacy telecommunicationtechnologies.

Described herein are systems, methods, articles of manufacture, andother embodiments or implementations that can facilitate fast CSIcomputation for a 5G network. Facilitating fast CSI computation for a 5Gnetwork can be implemented in connection with any type of device with aconnection to the communications network (e.g., a mobile handset, acomputer, a handheld device, etc.) any Internet of things (TOT) device(e.g., toaster, coffee maker, blinds, music players, speakers, etc.),and/or any connected vehicles (cars, airplanes, space rockets, and/orother at least partially automated vehicles (e.g., drones)). In someembodiments the non-limiting term user equipment (UE) is used. It canrefer to any type of wireless device that communicates with a radionetwork node in a cellular or mobile communication system. Examples ofUE are target device, device to device (D2D) UE, machine type UE or UEcapable of machine to machine (M2M) communication, PDA, Tablet, mobileterminals, smart phone, laptop embedded equipped (LEE), laptop mountedequipment (LME), USB dongles etc. Note that the terms element, elementsand antenna ports can be interchangeably used but carry the same meaningin this disclosure. The embodiments are applicable to single carrier aswell as to multicarrier (MC) or carrier aggregation (CA) operation ofthe UE. The term carrier aggregation (CA) is also called (e.g.interchangeably called) “multi-carrier system”, “multi-cell operation”,“multi-carrier operation”, “multi-carrier” transmission and/orreception.

In some embodiments the non-limiting term radio network node or simplynetwork node is used. It can refer to any type of network node thatserves UE is connected to other network nodes or network elements or anyradio node from where UE receives a signal. Examples of radio networknodes are Node B, base station (BS), multi-standard radio (MSR) nodesuch as MSR BS, eNode B, network controller, radio network controller(RNC), base station controller (BSC), relay, donor node controllingrelay, base transceiver station (BTS), access point (AP), transmissionpoints, transmission nodes, RRU, RRH, nodes in distributed antennasystem (DAS) etc.

Cloud radio access networks (RAN) can enable the implementation ofconcepts such as software-defined network (SDN) and network functionvirtualization (NFV) in 5G networks. This disclosure can facilitate ageneric channel state information framework design for a 5G network.Certain embodiments of this disclosure can comprise an SDN controllerthat can control routing of traffic within the network and between thenetwork and traffic destinations. The SDN controller can be merged withthe 5G network architecture to enable service deliveries via openapplication programming interfaces (“APIs”) and move the network coretowards an all internet protocol (“IP”), cloud based, and softwaredriven telecommunications network. The SDN controller can work with, ortake the place of policy and charging rules function (“PCRF”) networkelements so that policies such as quality of service and trafficmanagement and routing can be synchronized and managed end to end.

To meet the huge demand for data centric applications, 4G standards canbe applied 5G, also called new radio (NR) access. 5G networks cancomprise the following: data rates of several tens of megabits persecond supported for tens of thousands of users; 1 gigabit per secondcan be offered simultaneously to tens of workers on the same officefloor; several hundreds of thousands of simultaneous connections can besupported for massive sensor deployments; spectral efficiency can beenhanced compared to 4G; improved coverage; enhanced signalingefficiency; and reduced latency compared to LTE. In multicarrier systemsuch as OFDM, each subcarrier can occupy bandwidth (e.g., subcarrierspacing). If the carriers use the same bandwidth spacing, then it can beconsidered a single numerology. However, if the carriers occupydifferent bandwidth and/or spacing, then it can be considered a multiplenumerology.

Downlink reference signals are predefined signals occupying specificresource elements within a downlink time-frequency grid. There areseveral types of downlink reference signals that can be transmitted indifferent ways and used for different purposes by a receiving terminal.Channel state information reference signals (CSI-RS) can be used byterminals to acquire channel-state information (CSI) and beam specificinformation (e.g., beam reference signal received power). In 5G, CSI-RScan be user equipment (UE) specific so it can have a significantly lowertime/frequency density. Demodulation reference signals (DM-RS), alsosometimes referred to as UE-specific reference signals, can be used byterminals for channel estimation of data channels. The label“UE-specific” relates to each demodulation reference signal beingintended for channel estimation by a single terminal. The demodulationreference signal can then be transmitted within the resource blocksassigned for data traffic channel transmission to that terminal. Otherthan the aforementioned reference signals, there are other referencesignals, namely multi-cast broadcast single frequency network (MBSFN)and positioning reference signals that can be used for various purposes.

A physical downlink control channel (PDCCH) can carry information aboutscheduling grants. Typically, this comprises a of number of multiple-inmultiple-out (MIMO) layers scheduled, transport block sizes, modulationfor each code word, parameters related to a hybrid automatic repeatrequest (HARQ), sub band locations etc. It should be noted that alldownlink control information (DCI) formats may not transmit all theinformation as shown above. In general, the contents of PDCCH can dependon a transmission mode and a DCI format. Typically, the followinginformation is transmitted by means of the DCI format: carrierindicator, identifier for dci formats, bandwidth part indicator,frequency domain resource assignment, time domain resource assignment,virtual resource block (VRB) to physical resource block (PRB) mappingflag, PRB bundling size indicator, rate matching indicator,zero-punctuation (ZP) CSI-RS trigger, modulation and coding scheme foreach transport block (TB), new data indicator for each TB, redundancyversion for each TB, HARQ process number, downlink assignment index,transaction processing benchmark (TPC) command for uplink controlchannel, physical uplink control channel (PUCCH) resource indicator,physical downlink scheduling channel to HARQ feedback timing indicator,antenna port(s), transmission configuration indication, systemrequirement specification (SRS) request, codeblock group (CBG)transmission information, CBG flushing out information, and/ordemodulation reference signal (DMRS) sequence initialization.

The uplink control channel can carry information aboutHARQ-acknowledgment (ACK) information corresponding to the downlink datatransmission, and channel state information. The channel stateinformation typically comprises: CRI, RI, CQI, PMI and layer indicatordata, etc. The CSI can be divided into two categories: one for sub-bandand the other for wideband. The configuration of sub-band or widebandCSI reporting can be done through RRC signaling as part of CSI reportingconfiguration. Table 1 depicts the contents of a CSI report for PMIformat indicator=Wideband, CQI format indicator=wideband and for PMIformat indicator=sub-band, CQI format indicator=sub-band.

TABLE 1 Contents of CSI report for both wideband and side bandPMI-Format Indicator = sub-band PMI or CQI-Format PMI-Format Indicator =wideband Indicator = sub-band CQI PMI and CQI-Format CSI Part IIIndicator = wideband CQI CSI Part I wideband sub-band CRI CRI WidebandSub-band CQI for the differential second TB CQI for the second TB(transport block) of all even sub- bands Rank Indicator Rank PMI PMIsub- Indicator wideband band (X1 and information X2) fields X₂ of alleven sub- bands Layer Indicator Layer — Sub-band Indicator differentialCQI for the second TB of all odd sub-bands PMI wideband (X1 and X2)Wideband — PMI sub- CQI band information fields X₂ of all odd sub- bandsWideband CQI Sub-band — — differential CQI for the first TB

Note that for NR, the sub-band is defined according to the bandwidthpart of the OFDM in terms of PRBs as shown in Table 2. The sub-bandconfiguration is also done through RRC signaling.

TABLE 2 Configurable sub-band sizes Carrier bandwidth part (PRBs)Sub-band Size (PRBs) <24 N/A 24-72 4, 8  73-144 8, 16 145-275 16, 32Based on the existing 5G NR standard, the UE should report sub band CQIas a differential CQI to reduce the uplink overhead. For each sub-bandindex s, a 2-bit sub-band differential CQI is defined as:

Sub-band Offset level (s)=wideband CQI index−sub-band CQI index(s)  Equation 1):

The mapping from the 2-bit wideband differential CQI values to theoffset level is shown in Table 3 below:

TABLE 3 Mapping sub band differential CQI value to offset level Sub banddifferential CQI value Offset level 0 0 1 1 2 ≥2 3 ≤−1The following table summarizes the CSI-RS configuration and the CSIreporting. For CSI reporting, CSI-RS transmission as well as a signalingfrom the network to the UE can be observed.

TABLE 4 Triggering/Activation of CSI Reporting for the Possible CSI-RSConfigurations Aperiodic CSI-RS Periodic CSI Semi-Persistent CSIConfiguration Reporting CSI Reporting Reporting Periodic No dynamic Forreporting on PUCCH, Triggered by CSI-RS triggering/ the UE receives anDCI, activation activation command; for additionally, reporting onPUSCH, the activation UE receives triggering command on DCI Semi- NotFor reporting on PUCCH, Triggered by Persistent Supported the UEreceives an DCI, activation command; for additionally, CSI-RS reportingon PUSCH, the activation UE receives triggering command on DCI AperiodicNot Not Supported Triggered by CSI-RS Supported DCI, additionally,activation command

This disclosure proposes methods to compute the CSI using the scheduledPDSCH and DM-RS, thereby reducing the overhead for CSI computation. Inaddition, a signaling mechanism can be used for reporting simultaneousHARQ-ACK and CQI reporting using sequences. This disclosure compromisesmultiple embodiments, which can be implemented at the network nodeand/or at the UE. For example, at the UE, a method can be used to reportCSI using DMRS and PDSCH based channel estimation. Additionally, at theUE, a method can be used to indicate the simultaneous HARQ-ACK and CQI.At the network, a method can indicate the DMRS based CSI request.

The aforementioned methods can result in significant gains in sectorthroughput and cell edge user throughput as the network obtains theinformation about the CQI efficiently and a reduction in the signalingoverhead. It should be noted that although this disclosure describes theembodiments with relation to downlink data transmission for MIMOsystems, the same principle is applicable for uplink and side linksystems.

In one embodiment, described herein is a user equipment device that canfacilitate performance of operations comprising receiving a demodulationreference signal to facilitate channel estimation for a data channel ofa communication link with a network node device. Based on thedemodulation reference signal, the user equipment device can facilitateperformance of operations comprising receiving determining channel stateinformation relating to the data channel. Additionally, in response tothe determining the channel state information, the user equipment devicecan facilitate performance of operations comprising transmitting thechannel state information to the network node device.

According to another embodiment, a node device can facilitateperformance of operations comprising transmitting a request to a userequipment device to determine channel state information based on ademodulation reference signal. The node device can facilitateperformance of operations comprising receiving, from the user equipmentdevice, the channel state information. Based on the channel stateinformation, the node device can facilitate performance of operationscomprising determining a parameter for a data channel transmission tothe user equipment device. Furthermore, the node device can facilitateperformance of operations comprising transmitting the parameter to theuser equipment device via a downlink control channel.

According to yet another embodiment, described herein is amachine-readable storage medium that can perform the operationscomprising receiving a demodulation reference signal to facilitatechannel estimation for a data channel of a communication link with anetwork node device. The machine-readable storage medium can perform theoperations comprising receiving a physical downlink shared channelsignal to facilitate channel estimation for the data channel of thecommunication link with the network node device. In response to thereceiving the demodulation reference signal and the physical downlinkshared channel signal, the machine-readable storage medium can performthe operations comprising estimating channel state data. Additionally,in response to the estimating the channel state data, themachine-readable storage medium can perform the operations comprisingtransmitting the channel state data to the network node device.

These and other embodiments or implementations are described in moredetail below with reference to the drawings.

Referring now to FIG. 1, illustrated is an example wirelesscommunication system 100 in accordance with various aspects andembodiments of the subject disclosure. In one or more embodiments,system 100 can comprise one or more user equipment UEs 102. Thenon-limiting term user equipment can refer to any type of device thatcan communicate with a network node in a cellular or mobilecommunication system. A UE can have one or more antenna panels havingvertical and horizontal elements. Examples of a UE comprise a targetdevice, device to device (D2D) UE, machine type UE or UE capable ofmachine to machine (M2M) communications, personal digital assistant(PDA), tablet, mobile terminals, smart phone, laptop mounted equipment(LME), universal serial bus (USB) dongles enabled for mobilecommunications, a computer having mobile capabilities, a mobile devicesuch as cellular phone, a laptop having laptop embedded equipment (LEE,such as a mobile broadband adapter), a tablet computer having a mobilebroadband adapter, a wearable device, a virtual reality (VR) device, aheads-up display (HUD) device, a smart car, a machine-type communication(MTC) device, and the like. User equipment UE 102 can also comprise IOTdevices that communicate wirelessly.

In various embodiments, system 100 is or comprises a wirelesscommunication network serviced by one or more wireless communicationnetwork providers. In example embodiments, a UE 102 can becommunicatively coupled to the wireless communication network via anetwork node 106. The network node (e.g., network node device) cancommunicate with user equipment (UE), thus providing connectivitybetween the UE and the wider cellular network. The UE 102 can sendtransmission type recommendation data to the network node 106. Thetransmission type recommendation data can comprise a recommendation totransmit data via a closed loop MIMO mode and/or a rank-1 precoder mode.

A network node can have a cabinet and other protected enclosures, anantenna mast, and multiple antennas for performing various transmissionoperations (e.g., MIMO operations). Network nodes can serve severalcells, also called sectors, depending on the configuration and type ofantenna. In example embodiments, the UE 102 can send and/or receivecommunication data via a wireless link to the network node 106. Thedashed arrow lines from the network node 106 to the UE 102 representdownlink (DL) communications and the solid arrow lines from the UE 102to the network nodes 106 represents an uplink (UL) communication.

System 100 can further include one or more communication serviceprovider networks 108 that facilitate providing wireless communicationservices to various UEs, including UE 102, via the network node 106and/or various additional network devices (not shown) included in theone or more communication service provider networks 108. The one or morecommunication service provider networks 108 can include various types ofdisparate networks, including but not limited to: cellular networks,femto networks, picocell networks, microcell networks, internet protocol(IP) networks Wi-Fi service networks, broadband service network,enterprise networks, cloud based networks, and the like. For example, inat least one implementation, system 100 can be or include a large scalewireless communication network that spans various geographic areas.According to this implementation, the one or more communication serviceprovider networks 108 can be or include the wireless communicationnetwork and/or various additional devices and components of the wirelesscommunication network (e.g., additional network devices and cell,additional UEs, network server devices, etc.). The network node 106 canbe connected to the one or more communication service provider networks108 via one or more backhaul links. For example, the one or morebackhaul links can comprise wired link components, such as a T1/E1 phoneline, a digital subscriber line (DSL) (e.g., either synchronous orasynchronous), an asymmetric DSL (ADSL), an optical fiber backbone, acoaxial cable, and the like. The one or more backhaul links can alsoinclude wireless link components, such as but not limited to,line-of-sight (LOS) or non-LOS links which can include terrestrialair-interfaces or deep space links (e.g., satellite communication linksfor navigation).

Wireless communication system 100 can employ various cellular systems,technologies, and modulation modes to facilitate wireless radiocommunications between devices (e.g., the UE 102 and the network node106). While example embodiments might be described for 5G new radio (NR)systems, the embodiments can be applicable to any radio accesstechnology (RAT) or multi-RAT system where the UE operates usingmultiple carriers e.g. LTE FDD/TDD, GSM/GERAN, CDMA2000 etc.

For example, system 100 can operate in accordance with global system formobile communications (GSM), universal mobile telecommunications service(UMTS), long term evolution (LTE), LTE frequency division duplexing (LTEFDD, LTE time division duplexing (TDD), high speed packet access (HSPA),code division multiple access (CDMA), wideband CDMA (WCMDA), CDMA2000,time division multiple access (TDMA), frequency division multiple access(FDMA), multi-carrier code division multiple access (MC-CDMA),single-carrier code division multiple access (SC-CDMA), single-carrierFDMA (SC-FDMA), orthogonal frequency division multiplexing (OFDM),discrete Fourier transform spread OFDM (DFT-spread OFDM) single carrierFDMA (SC-FDMA), Filter bank based multi-carrier (FBMC), zero tailDFT-spread-OFDM (ZT DFT-s-OFDM), generalized frequency divisionmultiplexing (GFDM), fixed mobile convergence (FMC), universal fixedmobile convergence (UFMC), unique word OFDM (UW-OFDM), unique wordDFT-spread OFDM (UW DFT-Spread-OFDM), cyclic prefix OFDM CP-OFDM,resource-block-filtered OFDM, Wi Fi, WLAN, WiMax, and the like. However,various features and functionalities of system 100 are particularlydescribed wherein the devices (e.g., the UEs 102 and the network node106) of system 100 are configured to communicate wireless signals usingone or more multi carrier modulation schemes, wherein data symbols canbe transmitted simultaneously over multiple frequency subcarriers (e.g.,OFDM, CP-OFDM, DFT-spread OFMD, UFMC, FMBC, etc.). The embodiments areapplicable to single carrier as well as to multicarrier (MC) or carrieraggregation (CA) operation of the UE. The term carrier aggregation (CA)is also called (e.g. interchangeably called) “multi-carrier system”,“multi-cell operation”, “multi-carrier operation”, “multi-carrier”transmission and/or reception. Note that some embodiments are alsoapplicable for Multi RAB (radio bearers) on some carriers (that is dataplus speech is simultaneously scheduled).

In various embodiments, system 100 can be configured to provide andemploy 5G wireless networking features and functionalities. 5G wirelesscommunication networks are expected to fulfill the demand ofexponentially increasing data traffic and to allow people and machinesto enjoy gigabit data rates with virtually zero latency. Compared to 4G,5G supports more diverse traffic scenarios. For example, in addition tothe various types of data communication between conventional UEs (e.g.,phones, smartphones, tablets, PCs, televisions, Internet enabledtelevisions, etc.) supported by 4G networks, 5G networks can be employedto support data communication between smart cars in association withdriverless car environments, as well as machine type communications(MTCs). Considering the drastic different communication needs of thesedifferent traffic scenarios, the ability to dynamically configurewaveform parameters based on traffic scenarios while retaining thebenefits of multi carrier modulation schemes (e.g., OFDM and relatedschemes) can provide a significant contribution to the highspeed/capacity and low latency demands of 5G networks. With waveformsthat split the bandwidth into several sub-bands, different types ofservices can be accommodated in different sub-bands with the mostsuitable waveform and numerology, leading to an improved spectrumutilization for 5G networks.

To meet the demand for data centric applications, features of proposed5G networks may comprise: increased peak bit rate (e.g., 20 Gbps),larger data volume per unit area (e.g., high system spectralefficiency—for example about 3.5 times that of spectral efficiency oflong term evolution (LTE) systems), high capacity that allows moredevice connectivity both concurrently and instantaneously, lowerbattery/power consumption (which reduces energy and consumption costs),better connectivity regardless of the geographic region in which a useris located, a larger numbers of devices, lower infrastructuraldevelopment costs, and higher reliability of the communications. Thus,5G networks may allow for: data rates of several tens of megabits persecond should be supported for tens of thousands of users, 1 gigabit persecond to be offered simultaneously to tens of workers on the sameoffice floor, for example; several hundreds of thousands of simultaneousconnections to be supported for massive sensor deployments; improvedcoverage, enhanced signaling efficiency; reduced latency compared toLTE.

The upcoming 5G access network may utilize higher frequencies (e.g., >6GHz) to aid in increasing capacity. Currently, much of the millimeterwave (mmWave) spectrum, the band of spectrum between 30 gigahertz (Ghz)and 300 Ghz is underutilized. The millimeter waves have shorterwavelengths that range from 10 millimeters to 1 millimeter, and thesemmWave signals experience severe path loss, penetration loss, andfading. However, the shorter wavelength at mmWave frequencies alsoallows more antennas to be packed in the same physical dimension, whichallows for large-scale spatial multiplexing and highly directionalbeamforming.

Performance can be improved if both the transmitter and the receiver areequipped with multiple antennas. Multi-antenna techniques cansignificantly increase the data rates and reliability of a wirelesscommunication system. The use of multiple input multiple output (MIMO)techniques, which was introduced in the third-generation partnershipproject (3GPP) and has been in use (including with LTE), is amulti-antenna technique that can improve the spectral efficiency oftransmissions, thereby significantly boosting the overall data carryingcapacity of wireless systems. The use of multiple-input multiple-output(MIMO) techniques can improve mmWave communications, and has been widelyrecognized a potentially important component for access networksoperating in higher frequencies. MIMO can be used for achievingdiversity gain, spatial multiplexing gain and beamforming gain. Forthese reasons, MIMO systems are an important part of the 3rd and 4thgeneration wireless systems, and are planned for use in 5G systems.

Referring now to FIG. 2, illustrated is an example schematic systemblock diagram of a message sequence chart between a network node anduser equipment according to one or more embodiments.

FIG. 2 depicts a message sequence chart for downlink data transfer in 5Gsystems 200. The network node 106 can transmit reference signals to auser equipment (UE) 102. The reference signals can be cell specificand/or user equipment 102 specific in relation to a profile of the userequipment 102 or some type of mobile identifier. From the referencesignals, the user equipment 102 can compute channel state information(CSI) and compute parameters needed for a CSI report at block 202. TheCSI report can comprise: a channel quality indicator (CQI), a pre-codingmatrix index (PMI), rank information (RI), a CSI-resource indicator(e.g., CRI the same as beam indicator), etc.

The user equipment 102 can then transmit the CSI report to the networknode 106 via a feedback channel either on request from the network node106, a-periodically, and/or periodically. A network scheduler canleverage the CSI report to determine downlink transmission schedulingparameters at 204, which are particular to the user equipment 102. Thescheduling parameters 204 can comprise modulation and coding schemes(MCS), power, physical resource blocks (PRBs), etc. FIG. 2 depicts thephysical layer signaling where the density change can be reported forthe physical layer signaling or as a part of the radio resource control(RRC) signaling. In the physical layer, the density can be adjusted bythe network node 106 and then sent over to the user equipment 102 as apart of the downlink control channel data. The network node 106 cantransmit the scheduling parameters, comprising the adjusted densities,to the user equipment 102 via the downlink control channel. Thereafterand/or simultaneously, data can be transferred, via a data trafficchannel, from the network node 106 to the user equipment 102.

Referring now to FIG. 3, illustrated is an example schematic systemblock diagram of a coding chain for a physical downlink shared channeltransmitter according to one or more embodiments. FIG. 3 depicts thetransmission side of a MIMO communication system 300 with N_(t) transmitantennas. There are up to 2 transport blocks 302, 304 where the numberof transport blocks can be equal to one when the number of layers isless than or equal to 4. If the number of layers is more than 4, then 2transport blocks can be transmitted. The cyclic redundancy check (CRC)bits can be added to each transport block and passed to the channelencoder 306, 308. Low-density parity check codes (LDPC) can be used forforward error correction (FEC) in NR. The channel encoder 306, 308 canadd parity bits to protect the data. After encoding, the data stream canbe scrambled with user-specific scrambling. Then, the stream can bepassed through an interleaver 310, 312.

The interleaver size can be adaptively controlled by puncturing toincrease the data rate. The adaptation can be performed by using theinformation from the feedback channel (e.g., channel state informationsent by the receiver). The interleaved data can be passed through asymbol mapper (modulator). The symbol mapper can also be controlled bythe adaptive controller 326, after the modulator streams are passedthrough a layer mapper 314 and the precoder 316. The resultant symbolscan be mapped at resource element (RE) mappers 318, 320 to the resourceelements in a time-frequency grid of OFDM. The resultant streams canthen be passed through an inverse fast fourier transform (IFFT) block322, 324. It should be noted that in some systems, the IFFT block maynot be necessary and can be dependent on the multiple access system. Theencoded stream can then be transmitted through the respective antenna.

Referring now to FIG. 4 and FIG. 5, illustrated are example graphs ofrank information distribution and of precoding matrix informationdistribution, respectively, according to one or more embodiments. Themotivation behind the proposed techniques are that in general RIcomputed over the whole bandwidth does not change. Similarly, the PMIcomputed over the whole bandwidth does not change as shown in FIG. 4 andFIG. 5, respectively. Thus, if the UE 102 can compute the CSI using DMRSbased channel estimation for the scheduled rank and scheduled PMI, theCQI computed can be similar to that of CSI-RS based channel estimation.Therefore, the UE 102 can use channel estimation from DM-RS or physicaldownlink shared channel (PDSCH) based channel estimation for computingthe CQI, and the UE 102 can estimate CSI during the PDSCH decoding time.Furthermore, the UE 102 can decode PDSCH as wells as compute the CQI inthe same slot. The possible CSI parameters with this technique arewideband CQI, sub band CQI, and the layer indicator.

Referring now to FIG. 6, illustrated is an example message sequencechart 600 according to one or more embodiments. A gNB/base stationdevice/network node device 602 can send a cell specific or UE specificreference signal at 606 to a UE 604. The reference signal 606 caninclude a CS-RS signal, and then at 608, the UE 604 can calculate CSIincluding PMI and RI, and then feed the info back to the gNB 602 at 610.The gNB 602 can then determine the parameters for a PDSCH transmission,communicate the parameters to the UE 604 in a downlink control channel614, and then transmit data via a data traffic channel 616. The UE 102,104 can then calculate the CSI including the LI and CQI from a scheduledDM-RS while the data is being decoded at 618, and then feed the CSI backat 620 to the gNB 602 along with the HARQ-ACK or HARQ-NACK.

In general, RI computed over the bandwidth does not change. Similarly,the PMI computed over the bandwidth does not change frequently. Hence,if the UE 604 can compute the CSI using DMRS based channel estimationfor the scheduled rank and scheduled PMI, the CQI computed can besimilar to that of CSI-RS based channel estimation. Hence the UE 604 canuse channel estimation from DM-RS or PDSCH based channel estimation forcomputing the CQI. The UE 604 can estimate CSI during the PDSCH decodingtime. The UE 604 can also decode PDSCH and compute the CQI in the sameslot.

The UE 604 can use DMRS and/or PDSCH to compute CSI for the schedulednumber of layers and the precoding. Once it estimates the channel, itcan compute the signal to interference noise ratio (SINR) using thefollowing expression (for MMSE based detector) and computes the CQI:

$\begin{matrix}{{{SINR}_{i} = {H_{i}S^{- 1}H_{i}}},{S = {{N_{0}R_{N}} + {HH}^{H} - {H_{i}*H_{i}^{H}}}}} & {{Equation}\mspace{14mu} 2}\end{matrix}$

Once the UE 604 computes the CQI using DMRS based channel estimation,the UE 604 can report the CQI to the network along with HARQ-ACK. In oneembodiment, the UE 604 can report separately encoded CQI to the nodedevice 602. In another embodiment the UE 604 can report joint encodingHARQ-ACK and CQI. In yet another embodiment, the UE 604 can use separatesequences (e.g., Cazac sequence) to indicate the HARQ-ACK and usedifferential CQI to indicate the simultaneous HARQ-ACK and CSI. Thedifferential CQI is defined as:

Offset level (s)=CQI index computed using CSI-RS−CQI index computedusing DM-RS  Equation 3:

After receiving this value, the UE reports the sub band differential CQIaccording to Table 5:

TABLE 5 Proposed Mapping of HARQ-ACK and CQI to Offset Level SequenceHARQ-ACK Offset level Sequencel ACK 0 Sequence2 ACK 1 Sequence3 ACK ≥2Sequence4 ACK ≤−1 Sequence5 NAK 0 Sequence6 NAK 1 Sequence7 NAK ≥2Sequence8 NAK ≤−1

By using DMRS based CSI, the PMI and RI are held constant. However, ingeneral, for high speed UEs, the rank/PMI information can changerapidly. In these cases, the use of DMRS based channel estimation cannotbe useful. Thus, the network can indicate whether it wants the UE 604 toperform CSI calculation using DM-RS by use of a single bit in thedownlink control channel for requesting the CSI using DMRS. In anotherembodiment the network can indicate via higher layer signaling (e.g.,RRC signaling) to the UE 604 to enable/disable DMRS based CSI.

Referring now to FIG. 7, illustrated is an example flow diagram for auser equipment device for facilitating fast CSI computation for a 5Gnetwork according to one or more embodiments. At element 700, a userequipment device that can facilitate performance of operationscomprising receiving a demodulation reference signal to facilitatechannel estimation for a data channel of a communication link with anetwork node device. Based on the demodulation reference signal, atelement 702, the user equipment device can facilitate performance ofoperations comprising receiving determining channel state informationrelating to the data channel. Additionally, in response to thedetermining the channel state information, at element 704, the userequipment device can facilitate performance of operations comprisingtransmitting the channel state information to the network node device.

Referring now to FIG. 8, illustrated is an example flow diagram for anetwork node device for facilitating fast CSI computation for a 5Gnetwork according to one or more embodiments. At element 800, the nodedevice can facilitate performance of operations comprising transmittinga request to a user equipment device to determine channel stateinformation based on a demodulation reference signal. At element 802,the node device can facilitate performance of operations comprisingreceiving, from the user equipment device, the channel stateinformation. Based on the channel state information, at element 804, thenode device can facilitate performance of operations comprisingdetermining a parameter for a data channel transmission to the userequipment device. Furthermore, at element 806, the node device canfacilitate performance of operations comprising transmitting theparameter to the user equipment device via a downlink control channel.

Referring now to FIG. 9, illustrates an example flow diagram for amachine-readable medium for facilitating fast CSI computation for a 5Gnetwork according to one or more embodiments. At element 900, amachine-readable storage medium can perform the operations comprisingreceiving a demodulation reference signal to facilitate channelestimation for a data channel of a communication link with a networknode device. At element 902, the machine-readable storage medium canperform the operations comprising receiving a physical downlink sharedchannel signal to facilitate channel estimation for the data channel ofthe communication link with the network node device. In response to thereceiving the demodulation reference signal and the physical downlinkshared channel signal, at element 904, the machine-readable storagemedium can perform the operations comprising estimating channel statedata. Additionally, in response to the estimating the channel statedata, at element 906, the machine-readable storage medium can performthe operations comprising transmitting the channel state data to thenetwork node device.

Referring now to FIG. 10, illustrated is an example flow diagram for amachine-readable medium for facilitating fast CSI computation for a 5Gnetwork according to one or more embodiments. At element 1000, amachine-readable storage medium can perform the operations comprisingreceiving a demodulation reference signal to facilitate channelestimation for a data channel of a communication link with a networknode device. At element 1002, the machine-readable storage medium canperform the operations comprising receiving a physical downlink sharedchannel signal to facilitate channel estimation for the data channel ofthe communication link with the network node device. In response to thereceiving the demodulation reference signal and the physical downlinkshared channel signal, at element 1004, the machine-readable storagemedium can perform the operations comprising estimating channel statedata. Additionally, in response to the estimating the channel statedata, at element 1006, the machine-readable storage medium can performthe operations comprising transmitting the channel state data to thenetwork node device. Furthermore, in response to the receiving thephysical downlink shared channel signal, at element 1008, themachine-readable storage medium can perform the operations comprisingdecoding the physical downlink shared channel signal.

Referring now to FIG. 11, illustrated is a schematic block diagram of anexemplary end-user device such as a mobile device 1100 capable ofconnecting to a network in accordance with some embodiments describedherein. Although a mobile handset 1100 is illustrated herein, it will beunderstood that other devices can be a mobile device, and that themobile handset 1100 is merely illustrated to provide context for theembodiments of the various embodiments described herein. The followingdiscussion is intended to provide a brief, general description of anexample of a suitable environment 1100 in which the various embodimentscan be implemented. While the description includes a general context ofcomputer-executable instructions embodied on a machine-readable storagemedium, those skilled in the art will recognize that the innovation alsocan be implemented in combination with other program modules and/or as acombination of hardware and software.

Generally, applications (e.g., program modules) can include routines,programs, components, data structures, etc., that perform particulartasks or implement particular abstract data types. Moreover, thoseskilled in the art will appreciate that the methods described herein canbe practiced with other system configurations, includingsingle-processor or multiprocessor systems, minicomputers, mainframecomputers, as well as personal computers, hand-held computing devices,microprocessor-based or programmable consumer electronics, and the like,each of which can be operatively coupled to one or more associateddevices.

A computing device can typically include a variety of machine-readablemedia. Machine-readable media can be any available media that can beaccessed by the computer and includes both volatile and non-volatilemedia, removable and non-removable media. By way of example and notlimitation, computer-readable media can comprise computer storage mediaand communication media. Computer storage media can include volatileand/or non-volatile media, removable and/or non-removable mediaimplemented in any method or technology for storage of information, suchas computer-readable instructions, data structures, program modules orother data. Computer storage media can include, but is not limited to,RAM, ROM, EEPROM, flash memory or other memory technology, CD ROM,digital video disk (DVD) or other optical disk storage, magneticcassettes, magnetic tape, magnetic disk storage or other magneticstorage devices, or any other medium which can be used to store thedesired information and which can be accessed by the computer.

Communication media typically embodies computer-readable instructions,data structures, program modules or other data in a modulated datasignal such as a carrier wave or other transport mechanism, and includesany information delivery media. The term “modulated data signal” means asignal that has one or more of its characteristics set or changed insuch a manner as to encode information in the signal. By way of example,and not limitation, communication media includes wired media such as awired network or direct-wired connection, and wireless media such asacoustic, RF, infrared and other wireless media. Combinations of the anyof the above should also be included within the scope ofcomputer-readable media.

The handset 1100 includes a processor 1102 for controlling andprocessing all onboard operations and functions. A memory 1104interfaces to the processor 1102 for storage of data and one or moreapplications 1106 (e.g., a video player software, user feedbackcomponent software, etc.). Other applications can include voicerecognition of predetermined voice commands that facilitate initiationof the user feedback signals. The applications 1106 can be stored in thememory 1104 and/or in a firmware 1108, and executed by the processor1102 from either or both the memory 1104 or/and the firmware 1108. Thefirmware 1108 can also store startup code for execution in initializingthe handset 1100. A communications component 1110 interfaces to theprocessor 1102 to facilitate wired/wireless communication with externalsystems, e.g., cellular networks, VoIP networks, and so on. Here, thecommunications component 1110 can also include a suitable cellulartransceiver 1111 (e.g., a GSM transceiver) and/or an unlicensedtransceiver 1113 (e.g., Wi-Fi, WiMax) for corresponding signalcommunications. The handset 1100 can be a device such as a cellulartelephone, a PDA with mobile communications capabilities, andmessaging-centric devices. The communications component 1110 alsofacilitates communications reception from terrestrial radio networks(e.g., broadcast), digital satellite radio networks, and Internet-basedradio services networks.

The handset 1100 includes a display 1112 for displaying text, images,video, telephony functions (e.g., a Caller ID function), setupfunctions, and for user input. For example, the display 1112 can also bereferred to as a “screen” that can accommodate the presentation ofmultimedia content (e.g., music metadata, messages, wallpaper, graphics,etc.). The display 1112 can also display videos and can facilitate thegeneration, editing and sharing of video quotes. A serial I/O interface1114 is provided in communication with the processor 1102 to facilitatewired and/or wireless serial communications (e.g., USB, and/or IEEE1394) through a hardwire connection, and other serial input devices(e.g., a keyboard, keypad, and mouse). This supports updating andtroubleshooting the handset 1100, for example. Audio capabilities areprovided with an audio I/O component 1116, which can include a speakerfor the output of audio signals related to, for example, indication thatthe user pressed the proper key or key combination to initiate the userfeedback signal. The audio I/O component 1116 also facilitates the inputof audio signals through a microphone to record data and/or telephonyvoice data, and for inputting voice signals for telephone conversations.

The handset 1100 can include a slot interface 1118 for accommodating aSIC (Subscriber Identity Component) in the form factor of a cardSubscriber Identity Module (SIM) or universal SIM 1120, and interfacingthe SIM card 1120 with the processor 1102. However, it is to beappreciated that the SIM card 1120 can be manufactured into the handset1100, and updated by downloading data and software.

The handset 1100 can process IP data traffic through the communicationcomponent 1110 to accommodate IP traffic from an IP network such as, forexample, the Internet, a corporate intranet, a home network, a personarea network, etc., through an ISP or broadband cable provider. Thus,VoIP traffic can be utilized by the handset 1100 and IP-based multimediacontent can be received in either an encoded or decoded format.

A video processing component 1122 (e.g., a camera) can be provided fordecoding encoded multimedia content. The video processing component 1122can aid in facilitating the generation, editing and sharing of videoquotes. The handset 1100 also includes a power source 1124 in the formof batteries and/or an AC power subsystem, which power source 1124 caninterface to an external power system or charging equipment (not shown)by a power I/O component 1126.

The handset 1100 can also include a video component 1130 for processingvideo content received and, for recording and transmitting videocontent. For example, the video component 1130 can facilitate thegeneration, editing and sharing of video quotes. A location trackingcomponent 1132 facilitates geographically locating the handset 1100. Asdescribed hereinabove, this can occur when the user initiates thefeedback signal automatically or manually. A user input component 1134facilitates the user initiating the quality feedback signal. The userinput component 1134 can also facilitate the generation, editing andsharing of video quotes. The user input component 1134 can include suchconventional input device technologies such as a keypad, keyboard,mouse, stylus pen, and/or touch screen, for example.

Referring again to the applications 1106, a hysteresis component 1136facilitates the analysis and processing of hysteresis data, which isutilized to determine when to associate with the access point. Asoftware trigger component 1138 can be provided that facilitatestriggering of the hysteresis component 1138 when the Wi-Fi transceiver1113 detects the beacon of the access point. A SIP client 1140 enablesthe handset 1100 to support SIP protocols and register the subscriberwith the SIP registrar server. The applications 1106 can also include aclient 1142 that provides at least the capability of discovery, play andstore of multimedia content, for example, music.

The handset 1100, as indicated above related to the communicationscomponent 1110, includes an indoor network radio transceiver 1113 (e.g.,Wi-Fi transceiver). This function supports the indoor radio link, suchas IEEE 802.11, for the dual-mode GSM handset 1100. The handset 1100 canaccommodate at least satellite radio services through a handset that cancombine wireless voice and digital radio chipsets into a single handhelddevice.

Referring now to FIG. 12, there is illustrated a block diagram of acomputer 1200 operable to execute a system architecture that facilitatesestablishing a transaction between an entity and a third party. Thecomputer 1200 can provide networking and communication capabilitiesbetween a wired or wireless communication network and a server (e.g.,Microsoft server) and/or communication device. In order to provideadditional context for various aspects thereof, FIG. 12 and thefollowing discussion are intended to provide a brief, generaldescription of a suitable computing environment in which the variousaspects of the innovation can be implemented to facilitate theestablishment of a transaction between an entity and a third party.While the description above is in the general context ofcomputer-executable instructions that can run on one or more computers,those skilled in the art will recognize that the innovation also can beimplemented in combination with other program modules and/or as acombination of hardware and software.

Generally, program modules include routines, programs, components, datastructures, etc., that perform particular tasks or implement particularabstract data types. Moreover, those skilled in the art will appreciatethat the various methods can be practiced with other computer systemconfigurations, including single-processor or multiprocessor computersystems, minicomputers, mainframe computers, as well as personalcomputers, hand-held computing devices, microprocessor-based orprogrammable consumer electronics, and the like, each of which can beoperatively coupled to one or more associated devices.

The illustrated aspects of the innovation can also be practiced indistributed computing environments where certain tasks are performed byremote processing devices that are linked through a communicationsnetwork. In a distributed computing environment, program modules can belocated in both local and remote memory storage devices.

Computing devices typically include a variety of media, which caninclude computer-readable storage media or communications media, whichtwo terms are used herein differently from one another as follows.

Computer-readable storage media can be any available storage media thatcan be accessed by the computer and includes both volatile andnonvolatile media, removable and non-removable media. By way of example,and not limitation, computer-readable storage media can be implementedin connection with any method or technology for storage of informationsuch as computer-readable instructions, program modules, structureddata, or unstructured data. Computer-readable storage media can include,but are not limited to, RAM, ROM, EEPROM, flash memory or other memorytechnology, CD-ROM, digital versatile disk (DVD) or other optical diskstorage, magnetic cassettes, magnetic tape, magnetic disk storage orother magnetic storage devices, or other tangible and/or non-transitorymedia which can be used to store desired information. Computer-readablestorage media can be accessed by one or more local or remote computingdevices, e.g., via access requests, queries or other data retrievalprotocols, for a variety of operations with respect to the informationstored by the medium.

Communications media can embody computer-readable instructions, datastructures, program modules or other structured or unstructured data ina data signal such as a modulated data signal, e.g., a carrier wave orother transport mechanism, and includes any information delivery ortransport media. The term “modulated data signal” or signals refers to asignal that has one or more of its characteristics set or changed insuch a manner as to encode information in one or more signals. By way ofexample, and not limitation, communication media include wired media,such as a wired network or direct-wired connection, and wireless mediasuch as acoustic, RF, infrared and other wireless media.

With reference to FIG. 12, implementing various aspects described hereinwith regards to the end-user device can include a computer 1200, thecomputer 1200 including a processing unit 1204, a system memory 1206 anda system bus 1208. The system bus 1208 couples system componentsincluding, but not limited to, the system memory 1206 to the processingunit 1204. The processing unit 1204 can be any of various commerciallyavailable processors. Dual microprocessors and other multi processorarchitectures can also be employed as the processing unit 1204.

The system bus 1208 can be any of several types of bus structure thatcan further interconnect to a memory bus (with or without a memorycontroller), a peripheral bus, and a local bus using any of a variety ofcommercially available bus architectures. The system memory 1206includes read-only memory (ROM) 1227 and random access memory (RAM)1212. A basic input/output system (BIOS) is stored in a non-volatilememory 1227 such as ROM, EPROM, EEPROM, which BIOS contains the basicroutines that help to transfer information between elements within thecomputer 1200, such as during start-up. The RAM 1212 can also include ahigh-speed RAM such as static RAM for caching data.

The computer 1200 further includes an internal hard disk drive (HDD)1214 (e.g., EIDE, SATA), which internal hard disk drive 1214 can also beconfigured for external use in a suitable chassis (not shown), amagnetic floppy disk drive (FDD) 1216, (e.g., to read from or write to aremovable diskette 1218) and an optical disk drive 1220, (e.g., readinga CD-ROM disk 1222 or, to read from or write to other high capacityoptical media such as the DVD). The hard disk drive 1214, magnetic diskdrive 1216 and optical disk drive 1220 can be connected to the systembus 1208 by a hard disk drive interface 1224, a magnetic disk driveinterface 1226 and an optical drive interface 1228, respectively. Theinterface 1224 for external drive implementations includes at least oneor both of Universal Serial Bus (USB) and IEEE 1294 interfacetechnologies. Other external drive connection technologies are withincontemplation of the subject innovation.

The drives and their associated computer-readable media providenonvolatile storage of data, data structures, computer-executableinstructions, and so forth. For the computer 1200 the drives and mediaaccommodate the storage of any data in a suitable digital format.Although the description of computer-readable media above refers to aHDD, a removable magnetic diskette, and a removable optical media suchas a CD or DVD, it should be appreciated by those skilled in the artthat other types of media which are readable by a computer 1200, such aszip drives, magnetic cassettes, flash memory cards, cartridges, and thelike, can also be used in the exemplary operating environment, andfurther, that any such media can contain computer-executableinstructions for performing the methods of the disclosed innovation.

A number of program modules can be stored in the drives and RAM 1212,including an operating system 1230, one or more application programs1232, other program modules 1234 and program data 1236. All or portionsof the operating system, applications, modules, and/or data can also becached in the RAM 1212. It is to be appreciated that the innovation canbe implemented with various commercially available operating systems orcombinations of operating systems.

A user can enter commands and information into the computer 1200 throughone or more wired/wireless input devices, e.g., a keyboard 1238 and apointing device, such as a mouse 1240. Other input devices (not shown)may include a microphone, an IR remote control, a joystick, a game pad,a stylus pen, touch screen, or the like. These and other input devicesare often connected to the processing unit 1204 through an input deviceinterface 1242 that is coupled to the system bus 1208, but can beconnected by other interfaces, such as a parallel port, an IEEE 2394serial port, a game port, a USB port, an IR interface, etc.

A monitor 1244 or other type of display device is also connected to thesystem bus 1208 through an interface, such as a video adapter 1246. Inaddition to the monitor 1244, a computer 1200 typically includes otherperipheral output devices (not shown), such as speakers, printers, etc.

The computer 1200 can operate in a networked environment using logicalconnections by wired and/or wireless communications to one or moreremote computers, such as a remote computer(s) 1248. The remotecomputer(s) 1248 can be a workstation, a server computer, a router, apersonal computer, portable computer, microprocessor-based entertainmentdevice, a peer device or other common network node, and typicallyincludes many or all of the elements described relative to the computer,although, for purposes of brevity, only a memory/storage device 1250 isillustrated. The logical connections depicted include wired/wirelessconnectivity to a local area network (LAN) 1252 and/or larger networks,e.g., a wide area network (WAN) 1254. Such LAN and WAN networkingenvironments are commonplace in offices and companies, and facilitateenterprise-wide computer networks, such as intranets, all of which mayconnect to a global communications network, e.g., the Internet.

When used in a LAN networking environment, the computer 1200 isconnected to the local network 1252 through a wired and/or wirelesscommunication network interface or adapter 1256. The adapter 1256 mayfacilitate wired or wireless communication to the LAN 1252, which mayalso include a wireless access point disposed thereon for communicatingwith the wireless adapter 1256.

When used in a WAN networking environment, the computer 1200 can includea modem 1258, or is connected to a communications server on the WAN1254, or has other means for establishing communications over the WAN1254, such as by way of the Internet. The modem 1258, which can beinternal or external and a wired or wireless device, is connected to thesystem bus 1208 through the input device interface 1242. In a networkedenvironment, program modules depicted relative to the computer, orportions thereof, can be stored in the remote memory/storage device1250. It will be appreciated that the network connections shown areexemplary and other means of establishing a communications link betweenthe computers can be used.

The computer is operable to communicate with any wireless devices orentities operatively disposed in wireless communication, e.g., aprinter, scanner, desktop and/or portable computer, portable dataassistant, communications satellite, any piece of equipment or locationassociated with a wirelessly detectable tag (e.g., a kiosk, news stand,restroom), and telephone. This includes at least Wi-Fi and Bluetooth™wireless technologies. Thus, the communication can be a predefinedstructure as with a conventional network or simply an ad hoccommunication between at least two devices.

Wi-Fi, or Wireless Fidelity, allows connection to the Internet from acouch at home, a bed in a hotel room, or a conference room at work,without wires. Wi-Fi is a wireless technology similar to that used in acell phone that enables such devices, e.g., computers, to send andreceive data indoors and out; anywhere within the range of a basestation. Wi-Fi networks use radio technologies called IEEE 802.11 (a, b,g, etc.) to provide secure, reliable, fast wireless connectivity. AWi-Fi network can be used to connect computers to each other, to theInternet, and to wired networks (which use IEEE 802.3 or Ethernet).Wi-Fi networks operate in the unlicensed 2.4 and 5 GHz radio bands, atan 11 Mbps (802.11a) or 54 Mbps (802.11b) data rate, for example, orwith products that contain both bands (dual band), so the networks canprovide real-world performance similar to the basic 10BaseT wiredEthernet networks used in many offices.

For CSI reporting a reference signal can be used for estimating thechannel between the UE and the gNB. A report setting can inform theresources used for reporting CSI. Existing configurations involve lot ofoverhead and waste of resources, which, in turn reduces the resourcesallocated for data traffic channel. In addition, the existing frameworkfor CSI computation involves latency as the UE needs to check the CSI-RS(which can be periodic) and compute/report the CSI periodically. Thus, ahuge delay, which impacts delay sensitive applications such as URLLC, isinvolved in using the CSI reported by the UE. Thus, an efficientsolution is needed to report the CSI for future generation wirelesscommunication systems.

The above description of illustrated embodiments of the subjectdisclosure, including what is described in the Abstract, is not intendedto be exhaustive or to limit the disclosed embodiments to the preciseforms disclosed. While specific embodiments and examples are describedherein for illustrative purposes, various modifications are possiblethat are considered within the scope of such embodiments and examples,as those skilled in the relevant art can recognize.

In this regard, while the subject matter has been described herein inconnection with various embodiments and corresponding FIGs, whereapplicable, it is to be understood that other similar embodiments can beused or modifications and additions can be made to the describedembodiments for performing the same, similar, alternative, or substitutefunction of the disclosed subject matter without deviating therefrom.Therefore, the disclosed subject matter should not be limited to anysingle embodiment described herein, but rather should be construed inbreadth and scope in accordance with the appended claims below.

What is claimed is:
 1. A user equipment, comprising: a processor; and amemory that stores executable instructions that, when executed by theprocessor, facilitate performance of operations, comprising: based on ademodulation reference signal, utilized to facilitate channel estimationfor a data channel of a communication link with network equipment, andan estimation of a physical downlink shared channel, determining channelstate information relating to the data channel; decoding the physicaldownlink shared channel and a channel quality indicator in a same slot;in response to determining the channel state information, transmittingthe channel state information to the network equipment, whereintransmitting the channel state information comprises transmittingwideband channel state information associated with a widebandconfiguration via radio resource control signaling; determining sub-bandchannel state information associated with the communication link; inresponse to determining the sub-band channel state information,determining an offset value representative of a difference between thewideband channel state information and the sub-band channel stateinformation; and in response to determining the offset value,transmitting the offset value to the network equipment.
 2. The userequipment of claim 1, wherein the channel state information comprises alayer indicator and the channel quality indicator.
 3. The user equipmentof claim 1, wherein determining the channel state information is inresponse to an instruction received from the network equipment.
 4. Theuser equipment of claim 1, wherein the operations further comprise:receiving an instruction from the network equipment that prompts toperform the determining of the channel state information.
 5. The userequipment of claim 1, wherein the operations further comprise: receivingan instruction from the network equipment via a downlink control channelassociated with the communication link.
 6. The user equipment of claim1, wherein determining the channel state information is performedconcurrently with a decoding of data received via the data channel. 7.The user equipment of claim 1, wherein transmitting the channel stateinformation further comprises transmitting the channel state informationwith an indication that data received via the data channel was decodedsuccessfully.
 8. The user equipment of claim 1, wherein the operationsfurther comprise: transmitting indication data representative of anindication of a hybrid automatic repeat request.
 9. The user equipmentof claim 1, wherein the operations further comprise: transmitting thechannel state information with an indication of a hybrid automaticrepeat request in separate reports respectively for the channel stateinformation and the indication.
 10. The user equipment of claim 1,wherein the operations further comprise: transmitting the channel stateinformation with an indication of a hybrid automatic repeat request in ajoint report comprising the channel state information and theindication.
 11. The user equipment of claim 1, wherein transmitting thechannel state information further comprises transmitting the channelstate information with an indication that data received via the datachannel was not decoded successfully.
 12. The user equipment of claim 1,wherein the operations further comprise: based on a channel stateinformation reference signal, generating a value associated with thechannel quality indicator.
 13. The user equipment of claim 1, whereinthe operations further comprise: based on the demodulation referencesignal, generating a value associated with the channel qualityindicator.
 14. Network node equipment, comprising: a processor; and amemory that stores executable instructions that, when executed by theprocessor, facilitate performance of operations, comprising: receiving,from a user equipment, channel state information, wherein the channelstate information comprises wideband channel state informationassociated with a wideband configuration that has been transmitted viaradio resource control signaling; based on the channel stateinformation, determining a parameter for a data channel transmission tothe user equipment; transmitting the parameter to the user equipment viaa downlink control channel; determining, by the user equipment, widebandchannel state information and sub-band channel state informationassociated with a communication link; and receiving an offset value fromthe user equipment, wherein the offset value is based on a differencebetween the wideband channel state information and the sub-band channelstate information.
 15. The network node equipment of claim 14, whereinthe channel state information comprises a layer indicator and a channelquality indicator.
 16. The network node equipment of claim 14, whereinthe operations further comprise: determining to send the request basedon a variability of a precoding matrix indicator and a rank indicator ofa communication link with the user equipment over a predefined period oftime.
 17. The network node equipment of claim 14, wherein the operationsfurther comprise: determining to send the request based on a velocity ofthe user equipment being determined to be above a defined thresholdvelocity.
 18. A non-transitory machine-readable medium, comprisingexecutable instructions that, when executed by a processor, facilitateperformance of operations, comprising: receiving a physical downlinkshared channel signal to facilitate channel estimation for a datachannel of a communication link with network equipment; based on ademodulation reference signal and the physical downlink shared channelsignal, estimating channel state data; decoding the physical downlinkshared channel signal and a channel quality indicator in a same slot; inresponse to estimating the channel state data, transmitting the channelstate data to the network equipment, wherein the transmitting comprisestransmitting, via radio resource control signaling, wideband channelstate data associated with a wideband configuration; determiningsub-band channel state data associated with the communication link; andin response to determining the sub-band channel state data, determiningan offset value, wherein the offset value is a difference between thewideband channel state data and the sub-band channel state data.
 19. Thenon-transitory machine-readable medium of claim 18, wherein estimatingthe channel state data comprises estimating the channel state dataduring a decoding time associated with the physical downlink sharedchannel.
 20. The non-transitory machine-readable medium of claim 18,wherein the operations further comprise: in response to receiving thephysical downlink shared channel signal, decoding the physical downlinkshared channel signal.